Introduction: LIST Department ERIN

Here are preliminary results of the bibliometric mapping of the 2022 Luxembourg research evaluation. Its purpose is:

The method for the research-field-mapping can be reviewed here:

Rakas, M., & Hain, D. S. (2019). The state of innovation system research: What happens beneath the surface?. Research Policy, 48(9), 103787.

Seed Articles

The seed articles deemed representative for the active areas of research in the institution, and include authors affiliated with the institution. They can be selected in three ways:

  1. Via bibliographic clustering of the institutions publications and selection of most central articles per cluster (only clsuters where n >= 0.05N). Selection can be found at: https://github.com/daniel-hain/biblio_lux_2022/blob/master/output/seed/scopus_list_erin_seed.csv
  2. Manual selection of relevant publications.
  3. A combination of 1. and 2.

The present analysis is based on the following seed articles:

AU PY TI JI
ANDRÉ CM;GUERRIERO G;LATEUR… 2022 IDENTIFICATION OF NOVEL CANDIDATE GENES INVOLVED IN APPLE CUTICLE INTEGRITY AND RUSSETING-ASSOCIA… PLANTS
CALUSINSKA M;MARYNOWSKA M;B… 2020 INTEGRATIVE OMICS ANALYSIS OF THE TERMITE GUT SYSTEM ADAPTATION TO MISCANTHUS DIET IDENTIFIES LIG… COMMUN. BIOLOG.
PIGNÉ Y;GUTIÉRREZ TN;GIBON … 2020 A TOOL TO OPERATIONALIZE DYNAMIC LCA, INCLUDING TIME DIFFERENTIATION ON THE COMPLETE BACKGROUND D… INT. J. LIFE CYCLE ASSESS.
RODRIGUEZ NB;KLAUS J 2019 CATCHMENT TRAVEL TIMES FROM COMPOSITE STORAGE SELECTION FUNCTIONS REPRESENTING THE SUPERPOSITION … WATER RESOUR. RES.
CHINI M;HOSTACHE R;PELICH R… 2019 PROBABILISTIC URBAN FLOOD MAPPING USING SAR DATA DIG INT GEOSCI REMOTE SENS …
MOLITOR D;SCHULTZ M;FRIEDRI… 2018 EFFICACY OF FENHEXAMID TREATMENTS AGAINST BOTRYTIS CINEREA IN GRAPEVINE AS AFFECTED BY TIME OF AP… CROP PROT.
BHATTARAI N;MALLICK K;BRUNS… 2018 REGIONAL EVAPOTRANSPIRATION FROM AN IMAGE-BASED IMPLEMENTATION OF THE SURFACE TEMPERATURE INITIAT… HYDROL. EARTH SYST. SCI.
CAPITANESCU F 2018 OPF INTEGRATING DISTRIBUTION SYSTEMS FLEXIBILITY FOR TSO REAL-TIME ACTIVE POWER BALANCE MANAGEMENT IET CONF PUBL
PETRI I;ALHAMAMI A;REZGUI Y… 2018 A VIRTUAL COLLABORATIVE PLATFORM TO SUPPORT BUILDING INFORMATION MODELING IMPLEMENTATION FOR ENER… IFIP ADVANCES IN INFORMATIO…
CENCI L;PULVIRENTI L;BONI G… 2017 AN EVALUATION OF THE POTENTIAL OF SENTINEL 1 FOR IMPROVING FLASH FLOOD PREDICTIONS VIA SOIL MOIST… ADV. GEOSCI.

Topic modelling

Here, we report the results of a LDA topic-modelling (basically, clustering on words) on all title+abstract texts.

Topics by topwords

Note: While this static vies is helpful, I recommend using the interactive LDAVis version to be found under https://daniel-hain.github.io/biblio_lux_2022/output/topic_modelling/LDAviz_list_erin.rds/index.html#topic=1&lambda=0.60&term=. For functionality and usage, see technical description in the next tab.

Topics over time

Technical Description

LDA Topic Modelling

Topic modeling is a type of statistical modeling for discovering the abstract “topics” that occur in a collection of documents. Latent Dirichlet Allocation (LDA, Blei et al., 2003) is an example of topic model and is used to classify text in a document to a particular topic.

LDA is a generative probabilistic model that assumes each topic is a mixture over an underlying set of words, and each document is a mixture of over a set of topic probabilities. It builds a topic per document model and words per topic model, modeled as Dirichlet distributions.

LDAVis

LDAvis is a web-based interactive visualisation of topics estimated using LDA (Sievert & Shirley, 2014). It provides a global view of the topics (and how they differ from each other), while at the same time allowing for a deep inspection of the terms most highly associated with each individual topic. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization. The visualisation has two basic pieces.

The left panel visualise the topics as circles in the two-dimensional plane whose centres are determined by computing the Jensen–Shannon divergence between topics, and then by using multidimensional scaling to project the inter-topic distances onto two dimensions. Each topic’s overall prevalence is encoded using the areas of the circles.

The right panel depicts a horizontal bar chart whose bars represent the individual terms that are the most useful for interpreting the currently selected topic on the left. A pair of overlaid bars represent both the corpus-wide frequency of a given term as well as the topic-specific frequency of the term.

The \(\lambda\) slider allows to rank the terms according to term relevance. By default, the terms of a topic are ranked in decreasing order according their topic-specific probability ( \(\lambda\) = 1 ). Moving the slider allows to adjust the rank of terms based on much discriminatory (or “relevant”) are for the specific topic. The suggested optimal value of \(\lambda\) is 0.6.

Knowledge Bases: Co-Citation network analysis

Note: This analysis refers the co-citation analysis, where the cited references and not the original publications are the unit of analysis. See tab Technical descriptionfor additional explanations

Knowledge Bases summary

In order to partition networks into components or clusters, we deploy a community detection technique based on the Lovain Algorithm (Blondel et al., 2008). The Lovain Algorithm is a heuristic method that attempts to optimize the modularity of communities within a network by maximizing within- and minimizing between-community connectivity. We identify the following communities = knowledge bases.

name dgr_int dgr
Knowledge Base 1: KB 1: Evapotranspiration estimates (n = 3634, density =2.16)
SU Z. THE SURFACE ENERGY BALANCE SYSTEM (SEBS) 9364 9589
MU Q. ZHAO M. RUNNING S.W. IMPROVEMENTS TO A MODIS GLOBAL TERRESTRIAL EVAPOTRANSPIRATION ALGORITHM (2011) 9340 9951
MU Q. HEINSCH F.A. ZHAO M. RUNNING S.W. DEVELOPMENT OF A GLOBAL EVAPOTRANSPIRATION ALGORITHM BASED ON MODIS AND GLOBAL METEOROLOGY DATA (2007) 6682 7014
ALLEN R.G. TASUMI M. TREZZA R. SATELLITE-BASED ENERGY BALANCE FOR MAPPING EVAPOTRANSPIRATION WITH INTERNALIZED CALIBRATION (METRIC) 5801 5857
PRIESTLEY C.H.B. TAYLOR R.J. ON THE ASSESSMENT OF SURFACE HEAT FLUX AND EVAPORATION USING LARGE-SCALE PARAMETERS (1972) 5201 5419
BASTIAANSSEN W.G.M. MENENTI M. FEDDES R.A. HOLTSLAG A.A.M. A REMOTE SENSING SURFACE ENERGY BALANCE ALGORITHM FOR LAND (SEBAL) 4857 4922
NORMAN J.M. KUSTAS W.P. HUMES K.S. SOURCE APPROACH FOR ESTIMATING SOIL AND VEGETATION ENERGY FLUXES IN OBSERVATIONS OF DIRECTIONAL RADIOMETRIC SURF… 4364 4415
KALMA J.D. MCVICAR T.R. MCCABE M.F. ESTIMATING LAND SURFACE EVAPORATION: A REVIEW OF METHODS USING REMOTELY SENSED SURFACE TEMPERATURE DATA (2008) 4110 4182
ALLEN R.G. PEREIRA L.S. RAES D. SMITH M. (1998) 3964 4308
PENMAN H.L. NATURAL EVAPORATION FROM OPEN WATER BARE SOIL AND GRASS (1948) 3880 3979
Knowledge Base 2: KB 2: Methods for high-throughput sequencing/analysis (n = 2094, density =3.16)
PARKS D.H. IMELFORT M. SKENNERTON C.T. HUGENHOLTZ P. TYSON G.W. CHECKM: ASSESSING THE QUALITY OF MICROBIAL GENOMES RECOVERED FROM ISOLATES SINGLE C… 7449 7452
EDGAR R.C. SEARCH AND CLUSTERING ORDERS OF MAGNITUDE FASTER THAN BLAST (2010) 4790 4790
LANGMEAD B. SALZBERG S.L. FAST GAPPED-READ ALIGNMENT WITH BOWTIE 2 (2012) 2705 2709
BOLGER A.M. LOHSE M. USADEL B. TRIMMOMATIC: A FLEXIBLE TRIMMER FOR ILLUMINA SEQUENCE DATA (2014) 2667 2683
LOMBARD V. GOLACONDA RAMULU H. DRULA E. COUTINHO P.M. HENRISSAT B. THE CARBOHYDRATE-ACTIVE ENZYMES DATABASE (CAZY) 2364 2364
SEEMANN T. PROKKA: RAPID PROKARYOTIC GENOME ANNOTATION (2014) 2306 2306
KANG D.D. FROULA J. EGAN R. WANG Z. METABAT AN EFFICIENT TOOL FOR ACCURATELY RECONSTRUCTING SINGLE GENOMES FROM COMPLEX MICROBIAL COMMUNITIES (2015) 2177 2177
YIN Y. MAO X. YANG J. CHEN X. MAO F. XU Y. DBCAN: A WEB RESOURCE FOR AUTOMATED CARBOHYDRATE-ACTIVE ENZYME ANNOTATION (2012) 2120 2120
LETUNIC I. BORK P. INTERACTIVE TREE OF LIFE (ITOL) 1942 1942
KANEHISA M. GOTO S. KEGG: KYOTO ENCYCLOPEDIA OF GENES AND GENOMES (2000) 1864 1864
Knowledge Base 3: KB 3: Isotope hydrology, water age distribution (n = 1962, density =4.75)
MCGUIRE K.J. MCDONNELL J.J. A REVIEW AND EVALUATION OF CATCHMENT TRANSIT TIME MODELING (2006) 5019 5223
HARMAN C.J. TIME-VARIABLE TRANSIT TIME DISTRIBUTIONS AND TRANSPORT: THEORY AND APPLICATION TO STORAGE-DEPENDENT TRANSPORT OF CHLORIDE IN A WATERSHE… 3555 3713
TETZLAFF D. BIRKEL C. DICK J. GERIS J. SOULSBY C. STORAGE DYNAMICS IN HYDROPEDOLOGICAL UNITS CONTROL HILLSLOPE CONNECTIVITY RUNOFF GENERATION AND T… 2457 2610
MCGUIRE K.J. MCDONNELL J.J. WEILER M. KENDALL C. MCGLYNN B.L. WELKER J.M. SEIBERT J. THE ROLE OF TOPOGRAPHY ON CATCHMENT-SCALE WATER RESIDENCE TIME… 2266 2354
BOTTER G. BERTUZZO E. RINALDO A. CATCHMENT RESIDENCE AND TRAVEL TIME DISTRIBUTIONS: THE MASTER EQUATION (2011) 2257 2370
JASECHKO S. KIRCHNER J.W. WELKER J.M. MCDONNELL J.J. SUBSTANTIAL PROPORTION OF GLOBAL STREAMFLOW LESS THAN THREE MONTHS OLD (2016) 2254 2323
KIRCHNER J.W. FENG X. NEAL C. FRACTAL STREAM CHEMISTRY AND ITS IMPLICATIONS FOR CONTAMINANT TRANSPORT IN CATCHMENTS (2000) 2251 2309
HRACHOWITZ M. SAVENIJE H. BOGAARD T.A. TETZLAFF D. SOULSBY C. WHAT CAN FLUX TRACKING TEACH US ABOUT WATER AGE DISTRIBUTION PATTERNS AND THEIR TEMPO… 2062 2282
BOTTER G. BERTUZZO E. RINALDO A. TRANSPORT IN THE HYDROLOGIC RESPONSE: TRAVEL TIME DISTRIBUTIONS SOIL MOISTURE DYNAMICS AND THE OLD WATER PARADOX (… 2029 2142
KLAUS J. MCDONNELL J.J. HYDROGRAPH SEPARATION USING STABLE ISOTOPES: REVIEW AND EVALUATION (2013) 2019 2103
Knowledge Base 4: KB 4: Soil moisture estimates (n = 1832, density =3.57)
WAGNER W. LEMOINE G. ROTT H. A METHOD FOR ESTIMATING SOIL MOISTURE FROM ERS SCATTEROMETER AND SOIL DATA (1999) 5102 5470
NJOKU E.G. JACKSON T.J. LAKSHMI V. CHAN T.K. NGHIEM S.V. SOIL MOISTURE RETRIEVAL FROM AMSR-E (2003) 1955 2135
OWE M. DE JEU R. HOLMES T. MULTISENSOR HISTORICAL CLIMATOLOGY OF SATELLITE-DERIVED GLOBAL LAND SURFACE MOISTURE (2008) 1767 1950
REICHLE R.H. KOSTER R.D. BIAS REDUCTION IN SHORT RECORDS OF SATELLITE SOIL MOISTURE (2004) 1759 1906
NAEIMI V. SCIPAL K. BARTALIS Z. HASENAUER S. WAGNER W. AN IMPROVED SOIL MOISTURE RETRIEVAL ALGORITHM FOR ERS AND METOP SCATTEROMETER OBSERVATIONS (… 1729 1772
ENTEKHABI D. NJOKU E.G. O’NEILL P.E. KELLOGG K.H. CROW W.T. EDELSTEIN W.N. ENTIN J.K. JOHNSON J. THE SOIL MOISTURE ACTIVE PASSIVE (SMAP) 1275 1298
BROCCA L. MELONE F. MORAMARCO T. WAGNER W. NAEIMI V. BARTALIS Z. HASENAUER S. IMPROVING RUNOFF PREDICTION THROUGH THE ASSIMILATION OF THE ASCAT SOI… 1268 1370
STOFFELEN A. TOWARD THE TRUE NEAR-SURFACE WIND SPEED: ERROR MODELING AND CALIBRATION USING TRIPLE COLLOCATION (1998) 1224 1277
ALBERGEL C. DE ROSNAY P. GRUHIER C. MUÑOZ-SABATER J. HASENAUER S. ISAKSEN L. KERR Y. WAGNER W. EVALUATION OF REMOTELY SENSED AND MODELLED SOIL MOIS… 899 919
ENTEKHABI D. REICHLE R.H. KOSTER R.D. CROW W.T. PERFORMANCE METRICS FOR SOIL MOISTURE RETRIEVALS AND APPLICATION REQUIREMENTS (2010) 870 917
Knowledge Base 5: KB 5: BIM adoption (n = 1241, density =4.86)
BRYDE D. BROQUETAS M. VOLM J.M. THE PROJECT BENEFITS OF BUILDING INFORMATION MODELLING (BIM) 4368 4371
EADIE R. BROWNE M. ODEYINKA H. MCKEOWN C. MCNIFF S. BIM IMPLEMENTATION THROUGHOUT THE UK CONSTRUCTION PROJECT LIFECYCLE: AN ANALYSIS (2013) 3538 3538
AZHAR S. BUILDING INFORMATION MODELING (BIM) 3038 3038
SUCCAR B. BUILDING INFORMATION MODELLING FRAMEWORK: A RESEARCH AND DELIVERY FOUNDATION FOR INDUSTRY STAKEHOLDERS (2009) 2499 2499
GU N. LONDON K. UNDERSTANDING AND FACILITATING BIM ADOPTION IN THE AEC INDUSTRY (2010) 2218 2218
VOLK R. STENGEL J. SCHULTMANN F. BUILDING INFORMATION MODELING (BIM) 2074 2074
PORWAL A. HEWAGE K.N. BUILDING INFORMATION MODELING (BIM) 1144 1144
EASTMAN C. TEICHOLZ P. SACKS R. LISTON K. (2011) 932 932
WONG J.K.W. ZHOU J. ENHANCING ENVIRONMENTAL SUSTAINABILITY OVER BUILDING LIFE CYCLES THROUGH GREEN BIM: A REVIEW (2015) 821 821
BECERIK-GERBER B. JAZIZADEH F. LI N. CALIS G. APPLICATION AREAS AND DATA REQUIREMENTS FOR BIM-ENABLED FACILITIES MANAGEMENT (2012) 785 785
Knowledge Base 6: KB 6: Conceptual catchment modelling (n = 1112, density =5.94)
GUPTA H.V. KLING H. YILMAZ K.K. MARTINEZ G.F. DECOMPOSITION OF THE MEAN SQUARED ERROR AND NSE PERFORMANCE CRITERIA: IMPLICATIONS FOR IMPROVING HYDR… 1477 2410
KIRCHNER J.W. GETTING THE RIGHT ANSWERS FOR THE RIGHT REASONS: LINKING MEASUREMENTS ANALYSES AND MODELS TO ADVANCE THE SCIENCE OF HYDROLOGY (2006) 1474 2400
SCHOUPS G. VRUGT J.A. A FORMAL LIKELIHOOD FUNCTION FOR PARAMETER AND PREDICTIVE INFERENCE OF HYDROLOGIC MODELS WITH CORRELATED HETEROSCEDASTIC AND … 1438 1538
SEIBERT J. MCDONNELL J.J. ON THE DIALOG BETWEEN EXPERIMENTALIST AND MODELER IN CATCHMENT HYDROLOGY: USE OF SOFT DATA FOR MULTICRITERIA MODEL CALIBR… 1106 1313
GUPTA H.V. WAGENER T. LIU Y. RECONCILING THEORY WITH OBSERVATIONS: ELEMENTS OF A DIAGNOSTIC APPROACH TO MODEL EVALUATION (2008) 1093 1158
CLARK M.P. KAVETSKI D. FENICIA F. PURSUING THE METHOD OF MULTIPLE WORKING HYPOTHESES FOR HYDROLOGICAL MODELING (2011) 1091 1227
FENICIA F. KAVETSKI D. SAVENIJE H.H.G. ELEMENTS OF A FLEXIBLE APPROACH FOR CONCEPTUAL HYDROLOGICAL MODELING: 1. MOTIVATION AND THEORETICAL DEVELOPM… 968 1019
SAMANIEGO L. KUMAR R. ATTINGER S. MULTISCALE PARAMETER REGIONALIZATION OF A GRID-BASED HYDROLOGIC MODEL AT THE MESOSCALE (2010) 925 1224
GHARARI S. HRACHOWITZ M. FENICIA F. GAO H. SAVENIJE H.H.G. USING EXPERT KNOWLEDGE TO INCREASE REALISM IN ENVIRONMENTAL SYSTEM MODELS CAN DRAMATICAL… 921 1010
EUSER T. WINSEMIUS H.C. HRACHOWITZ M. FENICIA F. UHLENBROOK S. SAVENIJE H.H.G. A FRAMEWORK TO ASSESS THE REALISM OF MODEL STRUCTURES USING HYDROLOG… 850 877
Knowledge Base 7: KB 7: Suberin synthesis, metabolic pathway (n = 819, density =7.56)
POLLARD M. BEISSON F. LI Y. OHLROGGE J.B. BUILDING LIPID BARRIERS: BIOSYNTHESIS OF CUTIN AND SUBERIN (2008) 1363 1389
SAMUELS L. KUNST L. JETTER R. SEALING PLANT SURFACES: CUTICULAR WAX FORMATION BY EPIDERMAL CELLS (2008) 1039 1042
YADAV V. MOLINA I. RANATHUNGE K. CASTILLO I.Q. ROTHSTEIN S.J. REED J.W. ABCG TRANSPORTERS ARE REQUIRED FOR SUBERIN AND POLLEN WALL EXTRACELLULAR BA… 932 945
BIRD D. BEISSON F. BRIGHAM A. SHIN J. GREER S. JETTER R. KUNST L. SAMUELS L. CHARACTERIZATION OF ARABIDOPSIS ABCG11/WBC11 AN ATP BINDING CASSETTE (… 734 741
MOLINA I. LI-BEISSON Y. BEISSON F. OHLROGGE J.B. POLLARD M. IDENTIFICATION OF AN ARABIDOPSIS FERULOYL-COENZYME A TRANSFERASE REQUIRED FOR SUBERIN S… 642 645
SEO P.J. LEE S.B. SUH M.C. PARK M.J. GO Y.S. PARK C.M. THE MYB96 TRANSCRIPTION FACTOR REGULATES CUTICULAR WAX BIOSYNTHESIS UNDER DROUGHT CONDITIONS… 596 602
BEISSON F. LI Y. BONAVENTURE G. POLLARD M. OHLROGGE J.B. THE ACYLTRANSFERASE GPAT5 IS REQUIRED FOR THE SYNTHESIS OF SUBERIN IN SEED COAT AND ROOT O… 590 599
BEISSON F. LI-BEISSON Y. POLLARD M. SOLVING THE PUZZLES OF CUTIN AND SUBERIN POLYMER BIOSYNTHESIS (2012) 586 593
VISHWANATH S.J. DELUDE C. DOMERGUE F. ROWLAND O. SUBERIN: BIOSYNTHESIS REGULATION AND POLYMER ASSEMBLY OF A PROTECTIVE EXTRACELLULAR BARRIER (2015) 584 587
BERNARDS M.A. DEMYSTIFYING SUBERIN (2002) 568 575
Knowledge Base 8: KB 8: Security constrained optimal power flow (n = 764, density =4.92)
NICK M. CHERKAOUI R. PAOLONE M. OPTIMAL ALLOCATION OF DISPERSED ENERGY STORAGE SYSTEMS IN ACTIVE DISTRIBUTION NETWORKS FOR ENERGY BALANCE AND GRID … 980 984
BAI X. WEI H. FUJISAWA K. WANG Y. SEMIDEFINITE PROGRAMMING FOR OPTIMAL POWER FLOW PROBLEMS (2008) 821 821
LAVAEI J. LOW S.H. ZERO DUALITY GAP IN OPTIMAL POWER FLOW PROBLEM (2012) 751 751
COFFRIN C. HIJAZI H.L. VAN HENTENRYCK P. THE QC RELAXATION: A THEORETICAL AND COMPUTATIONAL STUDY ON OPTIMAL POWER FLOW (2016) 577 577
JABR R.A. RADIAL DISTRIBUTION LOAD FLOW USING CONIC PROGRAMMING (2006) 536 536
MADANI R. SOJOUDI S. LAVAEI J. CONVEX RELAXATION FOR OPTIMAL POWER FLOW PROBLEM: MESH NETWORKS (2015) 485 485
KOCUK B. DEY S.S. SUN X.A. STRONG SOCP RELAXATIONS FOR THE OPTIMAL POWER FLOW PROBLEM (2016) 482 482
MOLZAHN D.K. HISKENS I.A. SPARSITY-EXPLOITING MOMENT-BASED RELAXATIONS OF THE OPTIMAL POWER FLOW PROBLEM (2015) 463 463
MOLZAHN D.K. HOLZER J.T. LESIEUTRE B.C. DEMARCO C.L. IMPLEMENTATION OF A LARGE-SCALE OPTIMAL POWER FLOW SOLVER BASED ON SEMIDEFINITE PROGRAMMING (2… 460 460
ZAKERI B. SYRI S. ELECTRICAL ENERGY STORAGE SYSTEMS: A COMPARATIVE LIFE CYCLE COST ANALYSIS (2015) 401 401

Development of Knowledge Bases

Technical description

In a co-cittion network, the strength of the relationship between a reference pair \(m\) and \(n\) (\(s_{m,n}^{coc}\)) is expressed by the number of publications \(C\) which are jointly citing reference \(m\) and \(n\).

\[s_{m,n}^{coc} = \sum_i c_{i,m} c_{i,n}\]

The intuition here is that references which are frequently cited together are likely to share commonalities in theory, topic, methodology, or context. It can be interpreted as a measure of similarity as evaluated by other researchers that decide to jointly cite both references. Because the publication process is time-consuming, co-citation is a backward-looking measure, which is appropriate to map the relationship between core literature of a field.

Research Areas: Bibliographic coupling analysis

Research Areas main summary

This is arguably the more interesting part. Here, we identify the literature’s current knowledge frontier by carrying out a bibliographic coupling analysis of the publications in our corpus. This measure uses bibliographical information of publications to establish a similarity relationship between them. Again, method details to be found in the tab Technical description. As you will see, we identify the main research area, but also a set of adjacent research areas with some theoretical/methodological/application overlap.

To identify communities in the field’s knowledge frontier (labeled research areas) we again use the Lovain Algorithm (Blondel et al., 2008). We identify the following communities = research areas.

label AU PY TI dgr_int TC TC_year
Research Area 1: RA 1: Evapotranspiration estimates (n = 1415, density =0.34)
RA 1: Evapotranspiration estimates ZHANG K;KIMBALL JS;RUN… 2016 A REVIEW OF REMOTE SENSING BASED ACTUAL EVAPOTRANSPIRATION ESTIMATION 18.25 240 40.00
RA 1: Evapotranspiration estimates FISHER JB;MELTON F;MID… 2017 THE FUTURE OF EVAPOTRANSPIRATION: GLOBAL REQUIREMENTS FOR ECOSYSTEM FUNCTIONING, CARBON AND CLIMATE FEEDBACKS, AGRICULTURA… 11.90 348 69.60
RA 1: Evapotranspiration estimates MARTENS B;MIRALLES DG;… 2017 GLEAM V3: SATELLITE-BASED LAND EVAPORATION AND ROOT-ZONE SOIL MOISTURE 4.78 755 151.00
RA 1: Evapotranspiration estimates MIRALLES DG;JIMÉNEZ C;… 2016 THE WACMOS-ET PROJECT - PART 2: EVALUATION OF GLOBAL TERRESTRIAL EVAPORATION DATA SETS 13.75 184 30.67
RA 1: Evapotranspiration estimates MCCABE MF;ERSHADI A;JI… 2016 THE GEWEX LANDFLUX PROJECT: EVALUATION OF MODEL EVAPORATION USING TOWER-BASED AND GLOBALLY GRIDDED FORCING DATA 16.02 104 17.33
RA 1: Evapotranspiration estimates ZHANG Y;KONG D;GAN R;C… 2019 COUPLED ESTIMATION OF 500 M AND 8-DAY RESOLUTION GLOBAL EVAPOTRANSPIRATION AND GROSS PRIMARY PRODUCTION IN 2002–2017 9.91 151 50.33
RA 1: Evapotranspiration estimates BHATTARAI N;SHAW SB;QU… 2016 EVALUATING FIVE REMOTE SENSING BASED SINGLE-SOURCE SURFACE ENERGY BALANCE MODELS FOR ESTIMATING DAILY EVAPOTRANSPIRATION I… 16.69 83 13.83
RA 1: Evapotranspiration estimates SENAY GB;FRIEDRICHS M;… 2016 EVALUATING LANDSAT 8 EVAPOTRANSPIRATION FOR WATER USE MAPPING IN THE COLORADO RIVER BASIN 10.51 115 19.17
RA 1: Evapotranspiration estimates WESTERLING AL 2016 INCREASING WESTERN US FOREST WILDFIRE ACTIVITY: SENSITIVITY TO CHANGES IN THE TIMING OF SPRING 2.08 558 93.00
RA 1: Evapotranspiration estimates HOBBINS MT;WOOD A;MCEV… 2016 THE EVAPORATIVE DEMAND DROUGHT INDEX. PART I: LINKING DROUGHT EVOLUTION TO VARIATIONS IN EVAPORATIVE DEMAND 8.30 135 22.50
Research Area 2: RA 2: Characterisation of microbial communities (n = 1347, density =0.26)
RA 2: Characterisation of microbial communities PARADA AE;NEEDHAM DM;F… 2016 EVERY BASE MATTERS: ASSESSING SMALL SUBUNIT RRNA PRIMERS FOR MARINE MICROBIOMES WITH MOCK COMMUNITIES, TIME SERIES AND GLO… 9.43 1174 195.67
RA 2: Characterisation of microbial communities PASOLLI E;ASNICAR F;MA… 2019 EXTENSIVE UNEXPLORED HUMAN MICROBIOME DIVERSITY REVEALED BY OVER 150,000 GENOMES FROM METAGENOMES SPANNING AGE, GEOGRAPHY,… 12.72 481 160.33
RA 2: Characterisation of microbial communities ALMEIDA A;MITCHELL AL;… 2019 A NEW GENOMIC BLUEPRINT OF THE HUMAN GUT MICROBIOTA 11.74 455 151.67
RA 2: Characterisation of microbial communities PARKS DH;CHUVOCHINA M;… 2018 A STANDARDIZED BACTERIAL TAXONOMY BASED ON GENOME PHYLOGENY SUBSTANTIALLY REVISES THE TREE OF LIFE 4.34 1082 270.50
RA 2: Characterisation of microbial communities ZHANG H;YOHE T;HUANG L… 2018 DBCAN2: A META SERVER FOR AUTOMATED CARBOHYDRATE-ACTIVE ENZYME ANNOTATION 6.52 663 165.75
RA 2: Characterisation of microbial communities RIQUELME E;ZHANG Y;ZHA… 2019 TUMOR MICROBIOME DIVERSITY AND COMPOSITION INFLUENCE PANCREATIC CANCER OUTCOMES 11.06 370 123.33
RA 2: Characterisation of microbial communities SIEBER CMK;PROBST AJ;S… 2018 RECOVERY OF GENOMES FROM METAGENOMES VIA A DEREPLICATION, AGGREGATION AND SCORING STRATEGY 13.71 289 72.25
RA 2: Characterisation of microbial communities SONNENBURG ED;SMITS SA… 2016 DIET-INDUCED EXTINCTIONS IN THE GUT MICROBIOTA COMPOUND OVER GENERATIONS 4.20 835 139.17
RA 2: Characterisation of microbial communities BAHRAM M;HILDEBRAND F;… 2018 STRUCTURE AND FUNCTION OF THE GLOBAL TOPSOIL MICROBIOME 5.35 629 157.25
RA 2: Characterisation of microbial communities JAIN C;RODRIGUEZ-R LM;… 2018 HIGH THROUGHPUT ANI ANALYSIS OF 90K PROKARYOTIC GENOMES REVEALS CLEAR SPECIES BOUNDARIES 3.01 892 223.00
Research Area 3: RA 3: Water age distribution, store-age-selection function (n = 988, density =0.22)
RA 3: Water age distribution, store-age-selection function KIRCHNER JW 2016 AGGREGATION IN ENVIRONMENTAL SYSTEMS-PART 1: SEASONAL TRACER CYCLES QUANTIFY YOUNG WATER FRACTIONS, BUT NOT MEAN TRANSIT T… 8.03 183 30.50
RA 3: Water age distribution, store-age-selection function SPRENGER M;LEISTERT H;… 2016 ILLUMINATING HYDROLOGICAL PROCESSES AT THE SOIL-VEGETATION-ATMOSPHERE INTERFACE WITH WATER STABLE ISOTOPES 4.40 233 38.83
RA 3: Water age distribution, store-age-selection function HRACHOWITZ M;BENETTIN … 2016 TRANSIT TIMES—THE LINK BETWEEN HYDROLOGY AND WATER QUALITY AT THE CATCHMENT SCALE 6.68 132 22.00
RA 3: Water age distribution, store-age-selection function BENETTIN P;SOULSBY C;B… 2017 USING SAS FUNCTIONS AND HIGH-RESOLUTION ISOTOPE DATA TO UNRAVEL TRAVEL TIME DISTRIBUTIONS IN HEADWATER CATCHMENTS 10.38 79 15.80
RA 3: Water age distribution, store-age-selection function KIRCHNER JW 2016 AGGREGATION IN ENVIRONMENTAL SYSTEMS-PART 2: CATCHMENT MEAN TRANSIT TIMES AND YOUNG WATER FRACTIONS UNDER HYDROLOGIC NONST… 7.77 99 16.50
RA 3: Water age distribution, store-age-selection function SPRENGER M;STUMPP C;WE… 2019 THE DEMOGRAPHICS OF WATER: A REVIEW OF WATER AGES IN THE CRITICAL ZONE 7.73 98 32.67
RA 3: Water age distribution, store-age-selection function SPRENGER M;SEEGER S;BL… 2016 TRAVEL TIMES IN THE VADOSE ZONE: VARIABILITY IN SPACE AND TIME 7.80 76 12.67
RA 3: Water age distribution, store-age-selection function SPRENGER M;TETZLAFF D;… 2017 EVAPORATION FRACTIONATION IN A PEATLAND DRAINAGE NETWORK AFFECTS STREAM WATER ISOTOPE COMPOSITION 7.87 75 15.00
RA 3: Water age distribution, store-age-selection function FOWLER KJA;PEEL MC;WES… 2016 SIMULATING RUNOFF UNDER CHANGING CLIMATIC CONDITIONS: REVISITING AN APPARENT DEFICIENCY OF CONCEPTUAL RAINFALL-RUNOFF MODELS 5.29 98 16.33
RA 3: Water age distribution, store-age-selection function BERGHUIJS WR;KIRCHNER JW 2017 THE RELATIONSHIP BETWEEN CONTRASTING AGES OF GROUNDWATER AND STREAMFLOW 10.26 49 9.80
Research Area 4: RA 4: Soil moisture (n = 902, density =0.24)
RA 4: Soil moisture PENG J;LOEW A;MERLIN O… 2017 A REVIEW OF SPATIAL DOWNSCALING OF SATELLITE REMOTELY SENSED SOIL MOISTURE 6.94 301 60.20
RA 4: Soil moisture DORIGO W;WAGNER W;ALBE… 2017 ESA CCI SOIL MOISTURE FOR IMPROVED EARTH SYSTEM UNDERSTANDING: STATE-OF-THE ART AND FUTURE DIRECTIONS 4.14 504 100.80
RA 4: Soil moisture COLLIANDER A;JACKSON T… 2017 VALIDATION OF SMAP SURFACE SOIL MOISTURE PRODUCTS WITH CORE VALIDATION SITES 4.36 376 75.20
RA 4: Soil moisture HAJJ ME;BAGHDADI N;ZRI… 2017 SYNERGIC USE OF SENTINEL-1 AND SENTINEL-2 IMAGES FOR OPERATIONAL SOIL MOISTURE MAPPING AT HIGH SPATIAL RESOLUTION OVER AGR… 6.21 171 34.20
RA 4: Soil moisture KERR YH;AL-YAARI A;ROD… 2016 OVERVIEW OF SMOS PERFORMANCE IN TERMS OF GLOBAL SOIL MOISTURE MONITORING AFTER SIX YEARS IN OPERATION 4.83 186 31.00
RA 4: Soil moisture BROCCA L;CIABATTA L;MA… 2017 SOIL MOISTURE FOR HYDROLOGICAL APPLICATIONS: OPEN QUESTIONS AND NEW OPPORTUNITIES 4.93 162 32.40
RA 4: Soil moisture KIM H;PARINUSSA R;KONI… 2018 GLOBAL-SCALE ASSESSMENT AND COMBINATION OF SMAP WITH ASCAT (ACTIVE) AND AMSR2 (PASSIVE) SOIL MOISTURE PRODUCTS 7.77 99 24.75
RA 4: Soil moisture CUI C;XU J;ZENG J;CHEN… 2018 SOIL MOISTURE MAPPING FROM SATELLITES: AN INTERCOMPARISON OF SMAP, SMOS, FY3B, AMSR2, AND ESA CCI OVER TWO DENSE NETWORK R… 7.33 92 23.00
RA 4: Soil moisture BAGHDADI N;HAJJ ME;ZRI… 2017 CALIBRATION OF THE WATER CLOUD MODEL AT C-BAND FOR WINTER CROP FIELDS AND GRASSLANDS 6.16 106 21.20
RA 4: Soil moisture BAUER-MARSCHALLINGER B… 2019 TOWARD GLOBAL SOIL MOISTURE MONITORING WITH SENTINEL-1: HARNESSING ASSETS AND OVERCOMING OBSTACLES 4.87 127 42.33
Research Area 5: RA 5: TSO-DSO coordination (n = 774, density =0.12)
RA 5: TSO-DSO coordination KOCUK B;DEY SS;ANDY SUN X 2016 STRONG SOCP RELAXATIONS FOR THE OPTIMAL POWER FLOW PROBLEM 4.34 145 24.17
RA 5: TSO-DSO coordination WONG LA;RAMACHANDARAMU… 2019 REVIEW ON THE OPTIMAL PLACEMENT, SIZING AND CONTROL OF AN ENERGY STORAGE SYSTEM IN THE DISTRIBUTION NETWORK 3.02 140 46.67
RA 5: TSO-DSO coordination HAIDER HT;SEE OH;ELMEN… 2016 A REVIEW OF RESIDENTIAL DEMAND RESPONSE OF SMART GRID 1.23 303 50.50
RA 5: TSO-DSO coordination LI P;JI H;WANG C;ZHAO … 2017 COORDINATED CONTROL METHOD OF VOLTAGE AND REACTIVE POWER FOR ACTIVE DISTRIBUTION NETWORKS BASED ON SOFT OPEN POINT 1.86 188 37.60
RA 5: TSO-DSO coordination LI P;JI H;WANG C;ZHAO … 2019 OPTIMAL OPERATION OF SOFT OPEN POINTS IN ACTIVE DISTRIBUTION NETWORKS UNDER THREE-PHASE UNBALANCED CONDITIONS 3.58 93 31.00
RA 5: TSO-DSO coordination SABOORI H;HEMMATI R;GH… 2017 ENERGY STORAGE PLANNING IN ELECTRIC POWER DISTRIBUTION NETWORKS – A STATE-OF-THE-ART REVIEW 2.36 122 24.40
RA 5: TSO-DSO coordination NICK M;CHERKAOUI R;PAO… 2018 OPTIMAL PLANNING OF DISTRIBUTED ENERGY STORAGE SYSTEMS IN ACTIVE DISTRIBUTION NETWORKS EMBEDDING GRID RECONFIGURATION 3.11 92 23.00
RA 5: TSO-DSO coordination YANG Z;ZHONG H;BOSE A;… 2018 A LINEARIZED OPF MODEL WITH REACTIVE POWER AND VOLTAGE MAGNITUDE: A PATHWAY TO IMPROVE THE MW-ONLY DC OPF 1.89 148 37.00
RA 5: TSO-DSO coordination BAI L;JIANG T;LI F;CHE… 2018 DISTRIBUTED ENERGY STORAGE PLANNING IN SOFT OPEN POINT BASED ACTIVE DISTRIBUTION NETWORKS INCORPORATING NETWORK RECONFIGUR… 2.82 96 24.00
RA 5: TSO-DSO coordination GIANNITRAPANI A;PAOLET… 2017 OPTIMAL ALLOCATION OF ENERGY STORAGE SYSTEMS FOR VOLTAGE CONTROL IN LV DISTRIBUTION NETWORKS 2.43 109 21.80
Research Area 6: RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis (n = 617, density =0.16)
RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis BARBERON M;VERMEER JEM… 2016 ADAPTATION OF ROOT FUNCTION BY NUTRIENT-INDUCED PLASTICITY OF ENDODERMAL DIFFERENTIATION 1.86 253 42.17
RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis FICH EA;SEGERSON NA;RO… 2016 THE PLANT POLYESTER CUTIN: BIOSYNTHESIS, STRUCTURE, AND BIOLOGICAL ROLES 2.65 178 29.67
RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis LASHBROOKE J;COHEN H;L… 2016 MYB107 AND MYB9 HOMOLOGS REGULATE SUBERIN DEPOSITION IN ANGIOSPERMS 3.55 93 15.50
RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis LEE SB;KIM HU;SUH MC 2016 MYB94 AND MYB96 ADDITIVELY ACTIVATE CUTICULAR WAX BIOSYNTHESIS IN ARABIDOPSIS 4.43 74 12.33
RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis JI Z;JI H 2016 TSCAN: PSEUDO-TIME RECONSTRUCTION AND EVALUATION IN SINGLE-CELL RNA-SEQ ANALYSIS 1.14 251 41.83
RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis HWANG J-U;SONG W-Y;HON… 2016 PLANT ABC TRANSPORTERS ENABLE MANY UNIQUE ASPECTS OF A TERRESTRIAL PLANT’S LIFESTYLE 1.40 183 30.50
RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis DO THT;MARTINOIA E;LEE Y 2018 FUNCTIONS OF ABC TRANSPORTERS IN PLANT GROWTH AND DEVELOPMENT 2.88 86 21.50
RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis LEGAY S;GUERRIERO G;AN… 2016 MDMYB93 IS A REGULATOR OF SUBERIN DEPOSITION IN RUSSETED APPLE FRUIT SKINS 3.59 68 11.33
RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis GOU M;HOU G;YANG H;ZHA… 2017 THE MYB107 TRANSCRIPTION FACTOR POSITIVELY REGULATES SUBERIN BIOSYNTHESIS 4.33 54 10.80
RA 6: Plant adaptation, physiology, cell wall synthesis, suberin biosynthesis FERNÁNDEZ V;GUZMÁN-DEL… 2016 CUTICLE STRUCTURE IN RELATION TO CHEMICAL COMPOSITION: RE-ASSESSING THE PREVAILING MODEL 1.44 128 21.33
Research Area 7: RA 7: Benefits of BIM through use cases (n = 478, density =0.59)
RA 7: Benefits of BIM through use cases GHAFFARIANHOSEINI A;TO… 2017 BUILDING INFORMATION MODELLING (BIM) UPTAKE: CLEAR BENEFITS, UNDERSTANDING ITS IMPLEMENTATION, RISKS AND CHALLENGES 7.25 268 53.60
RA 7: Benefits of BIM through use cases ZHAO X 2017 A SCIENTOMETRIC REVIEW OF GLOBAL BIM RESEARCH: ANALYSIS AND VISUALIZATION 8.89 206 41.20
RA 7: Benefits of BIM through use cases LU Y;WU Z;CHANG R;LI Y 2017 BUILDING INFORMATION MODELING (BIM) FOR GREEN BUILDINGS: A CRITICAL REVIEW AND FUTURE DIRECTIONS 6.57 225 45.00
RA 7: Benefits of BIM through use cases HE Q;WANG G;LUO L;SHI … 2017 MAPPING THE MANAGERIAL AREAS OF BUILDING INFORMATION MODELING (BIM) USING SCIENTOMETRIC ANALYSIS 7.78 174 34.80
RA 7: Benefits of BIM through use cases SANTOS R;COSTA AA;GRILO A 2017 BIBLIOMETRIC ANALYSIS AND REVIEW OF BUILDING INFORMATION MODELLING LITERATURE PUBLISHED BETWEEN 2005 AND 2015 5.44 173 34.60
RA 7: Benefits of BIM through use cases ORAEE M;HOSSEINI MR;PA… 2017 COLLABORATION IN BIM-BASED CONSTRUCTION NETWORKS: A BIBLIOMETRIC-QUALITATIVE LITERATURE REVIEW 5.07 163 32.60
RA 7: Benefits of BIM through use cases LIU Y;VAN NEDERVEEN S;… 2017 UNDERSTANDING EFFECTS OF BIM ON COLLABORATIVE DESIGN AND CONSTRUCTIONAN EMPIRICAL STUDY IN CHINA 3.74 188 37.60
RA 7: Benefits of BIM through use cases ZOU Y;KIVINIEMI A;JONE… 2017 A REVIEW OF RISK MANAGEMENT THROUGH BIM AND BIM-RELATED TECHNOLOGIES 4.71 149 29.80
RA 7: Benefits of BIM through use cases TAY YWD;PANDA B;PAUL S… 2017 3D PRINTING TRENDS IN BUILDING AND CONSTRUCTION INDUSTRY: A REVIEW 1.99 325 65.00
RA 7: Benefits of BIM through use cases KHAJAVI SH;MOTLAGH NH;… 2019 DIGITAL TWIN: VISION, BENEFITS, BOUNDARIES, AND CREATION FOR BUILDINGS 5.38 105 35.00

Development

Connectivity between the research areas

Technical description

In a bibliographic coupling network, the coupling-strength between publications is determined by the number of commonly cited references they share, assuming a common pool of references to indicate similarity in context, methods, or theory. Formally, the strength of the relationship between a publication pair \(i\) and \(j\) (\(s_{i,j}^{bib}\)) is expressed by the number of commonly cited references.

\[s_{i,j}^{bib} = \sum_m c_{i,m} c_{j,m}\]

Since our corpus contains publications which differ strongly in terms of the number of cited references, we normalize the coupling strength by the Jaccard similarity coefficient. Here, we weight the intercept of two publications’ bibliography (shared refeences) by their union (number of all references cited by either \(i\) or \(j\)). It is bounded between zero and one, where one indicates the two publications to have an identical bibliography, and zero that they do not share any cited reference. Thereby, we prevent publications from having high coupling strength due to a large bibliography (e.g., literature surveys).

\[S_{i,j}^{jac-bib} =\frac{C(i \cap j)}{C(i \cup j)} = \frac{s_{i,j}^{bib}}{c_i + c_j - s_{i,j}^{bib}}\]

More recent articles have a higher pool of possible references to co-cite to, hence they are more likely to be coupled. Consequently, bibliographic coupling represents a forward looking measure, and the method of choice to identify the current knowledge frontier at the point of analysis.

Knowledge Bases, Research Areas & Topics Interaction

Endnotes

All results are preliminary so far…